Finite Mixture Model of Bounded Semi-naive Bayesian Networks Classifier. - Kaizhu Huang; Irwin King; Michael R. Lyu (ICANN, 2003)

Discriminative training of Bayesian Chow-Liu multinet classifiers. - Kaizhu Huang; Irwun King; Michael R. Lyu (IJCNN, 2003)

Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine. - Kaizhu Huang; Haiqin Yang; Irwin King; Michael R. Lyu (CVPR (2), 2004)

Learning large margin classifiers locally and globally. - Kaizhu Huang; Haiqin Yang; Irwin King; Michael R. Lyu (ICML, 2004)

Outliers Treatment in Support Vector Regression for Financial Time Series Prediction. - Haiqin Yang; Kaizhu Huang; Laiwan Chan; Irwin King; Michael R. Lyu (ICONIP, 2004)

Biased support vector machine for relevance feedback in image retrieval. - Steven Chu-Hong Hoi; Chi-Hang Chan; Kaizhu Huang; Michael R. Lyu; Irwin King (IJCNN, 2004)

Biased Minimax Probability Machine for Medical Diagnosis. - Kaizhu Huang; Haiqin Yang; Irwin King; Michael R. Lyu; Laiwan Chan (AI&M, 2004)

The Minimum Error Minimax Probability Machine. - Kaizhu Huang; Haiqin Yang; Irwin King; Michael R. Lyu; Laiwan Chan (J. Mach. Learn. Res., 2004)

Learning from data locally and globally. - Kaizhu Huang (2004)

A Hybrid Handwritten Chinese Address Recognition Approach. - Kaizhu Huang; Jun Sun 004; Yoshinobu Hotta; Katsuhito Fujimoto; Satoshi Naoi; Chong Long; Li Zhuang; Xiaoyan Zhu 001 (ICONIP (2), 2006)

Local Support Vector Regression for Financial Time Series Prediction. - Kaizhu Huang; Haiqin Yang; Irwin King; Michael R. Lyu (IJCNN, 2006)

Maximizing sensitivity in medical diagnosis using biased minimax probability Machine. - Kaizhu Huang; Haiqin Yang; Irwin King; Michael R. Lyu (IEEE Trans. Biomed. Eng., 2006)

Imbalanced learning with a biased minimax probability machine. - Kaizhu Huang; Haiqin Yang; Irwin King; Michael R. Lyu (IEEE Trans. Syst. Man Cybern. Part B, 2006)

An SVM-Based High-accurate Recognition Approach for Handwritten Numerals by Using Difference Features. - Kaizhu Huang; Jun Sun 004; Yoshinobu Hotta; Katsuhito Fujimoto; Satoshi Naoi (ICDAR, 2007)

Degraded Character Recognition by Complementary Classifiers Combination. - Jun Sun 004; Kaizhu Huang; Yoshinobu Hotta; Katsuhito Fujimoto; Satoshi Naoi (ICDAR, 2007)

Kernel Maximum a Posteriori Classification with Error Bound Analysis. - Zenglin Xu; Kaizhu Huang; Jianke Zhu; Irwin King; Michael R. Lyu (ICONIP (1), 2007)

A Scenario-View Based Approach to Analyze External Behavior of Web Services for Supporting Mediated Service Interactions. - ZhangBing Zhou; Sami Bhiri; Lei Shu 001; Kaizhu Huang; Laurentiu Vasiliu; Manfred Hauswirth (IEEE SCC (2), 2008)

Semi-supervised text categorization by active search. - Zenglin Xu; Rong Jin 001; Kaizhu Huang; Michael R. Lyu; Irwin King (CIKM, 2008)

Direct Zero-Norm Optimization for Feature Selection. - Kaizhu Huang; Irwin King; Michael R. Lyu (ICDM, 2008)

Semi-supervised Learning from General Unlabeled Data. - Kaizhu Huang; Zenglin Xu; Irwin King; Michael R. Lyu (ICDM, 2008)

Efficient Minimax Clustering Probability Machine by Generalized Probability Product Kernel. - Haiqin Yang; Kaizhu Huang; Irwin King; Michael R. Lyu (IJCNN, 2008)

Maxi-Min Margin Machine: Learning Large Margin Classifiers Locally and Globally. - Kaizhu Huang; Haiqin Yang; Irwin King; Michael R. Lyu (IEEE Trans. Neural Networks, 2008)

GSML: A Unified Framework for Sparse Metric Learning. - Kaizhu Huang; Yiming Ying; Colin Campbell (ICDM, 2009)

Exchange Rate Forecasting Using Classifier Ensemble. - Zhi-Bin Wang; Hong-Wei Hao; Xu-Cheng Yin; Qian Liu; Kaizhu Huang (ICONIP (1), 2009)

A Rock Structure Recognition System Using FMI Images. - Xu-Cheng Yin; Qian Liu; Hong-Wei Hao; Zhi-Bin Wang; Kaizhu Huang (ICONIP (1), 2009)

Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data. - Kaizhu Huang; Zenglin Xu; Irwin King; Michael R. Lyu; Colin Campbell (IJCNN, 2009)

Sparse Metric Learning via Smooth Optimization. - Yiming Ying; Kaizhu Huang; Colin Campbell (NIPS, 2009)

Enhanced protein fold recognition through a novel data integration approach. - Yiming Ying; Kaizhu Huang; Colin Campbell (BMC Bioinform., 2009)

Localized support vector regression for time series prediction. - Haiqin Yang; Kaizhu Huang; Irwin King; Michael R. Lyu (Neurocomputing, 2009)

Arbitrary Norm Support Vector Machines. - Kaizhu Huang; Danian Zheng; Irwin King; Michael R. Lyu (Neural Comput., 2009)

A novel kernel-based maximum a posteriori classification method. - Zenglin Xu; Kaizhu Huang; Jianke Zhu; Irwin King; Michael R. Lyu (Neural Networks, 2009)

Similar Handwritten Chinese Characters Recognition by Critical Region Selection Based on Average Symmetric Uncertainty. - Bo Xu 008; Kaizhu Huang; Cheng-Lin Liu 001 (ICFHR, 2010)

Ellipse Detection with an Improved Randomized Hough Transform for Intellectual Phacoemulsification Surgery Systems. - Hong-Wei Hao; Qian Liu; Xu-Cheng Yin; Zhi-Bin Wang; Kaizhu Huang (ICIP, 2010)

Learning ECOC and Dichotomizers Jointly from Data. - Guoqiang Zhong 001; Kaizhu Huang; Cheng-Lin Liu 001 (ICONIP (1), 2010)

Dimensionality Reduction by Minimal Distance Maximization. - Bo Xu 008; Kaizhu Huang; Cheng-Lin Liu 001 (ICPR, 2010)

Robust Metric Learning by Smooth Optimization. - Kaizhu Huang; Rong Jin 001; Zenglin Xu; Cheng-Lin Liu 001 (UAI, 2010)

Sparse learning for support vector classification. - Kaizhu Huang; Danian Zheng; Jun Sun 004; Yoshinobu Hotta; Katsuhito Fujimoto; Satoshi Naoi (Pattern Recognit. Lett., 2010)

Fast and Robust Graph-based Transductive Learning via Minimum Tree Cut. - Yan-Ming Zhang 001; Kaizhu Huang; Cheng-Lin Liu 001 (ICDM, 2011)

Low Rank Metric Learning with Manifold Regularization. - Guoqiang Zhong 001; Kaizhu Huang; Cheng-Lin Liu 001 (ICDM, 2011)

Graphical Lasso Quadratic Discriminant Function for Character Recognition. - Bo Xu 008; Kaizhu Huang; Irwin King; Cheng-Lin Liu 001; Jun Sun 004; Satoshi Naoi (ICONIP (3), 2011)

Multi-Task Low-Rank Metric Learning Based on Common Subspace. - Peipei Yang; Kaizhu Huang; Cheng-Lin Liu 001 (ICONIP (2), 2011)

Pattern Field Classification with Style Normalized Transformation. - Xu-Yao Zhang; Kaizhu Huang; Cheng-Lin Liu 001 (IJCAI, 2011)

Generalized sparse metric learning with relative comparisons. - Kaizhu Huang; Yiming Ying; Colin Campbell (Knowl. Inf. Syst., 2011)

Exchange rate prediction with non-numerical information. - Zhi-Bin Wang; Hong-Wei Hao; Xu-Cheng Yin; Qian Liu; Kaizhu Huang (Neural Comput. Appl., 2011)

FMI image based rock structure classification using classifier combination. - Xu-Cheng Yin; Qian Liu; Hong-Wei Hao; Zhi-Bin Wang; Kaizhu Huang (Neural Comput. Appl., 2011)

m-SNE: Multiview Stochastic Neighbor Embedding. - Bo Xie 002; Yang Mu; Dacheng Tao; Kaizhu Huang (IEEE Trans. Syst. Man Cybern. Part B, 2011)

Multiple Outlooks Learning with Support Vector Machines. - Yinglu Liu; Xu-Yao Zhang; Kaizhu Huang; Xinwen Hou; Cheng-Lin Liu 001 (ICONIP (3), 2012)

Manifold Regularized Multi-Task Learning. - Peipei Yang; Xu-Yao Zhang; Kaizhu Huang; Cheng-Lin Liu 001 (ICONIP (3), 2012)

Classifier Ensemble Using a Heuristic Learning with Sparsity and Diversity. - Xu-Cheng Yin; Kaizhu Huang; Hong-Wei Hao; Khalid Iqbal; Zhi-Bin Wang (ICONIP (2), 2012)

Joint learning of error-correcting output codes and dichotomizers from data. - Guoqiang Zhong 001; Kaizhu Huang; Cheng-Lin Liu 001 (Neural Comput. Appl., 2012)

Maxi-Min discriminant analysis via online learning. - Bo Xu 008; Kaizhu Huang; Cheng-Lin Liu 001 (Neural Networks, 2012)

Efficient clinical decision making by learning from missing clinical data. - Kamran Farooq; Peipei Yang; Amir Hussain 001; Kaizhu Huang; Calum A. MacRae; Chris Eckl; Warner V. Slack (CICARE, 2013)

Feature Transformation with Class Conditional Decorrelation. - Xu-Yao Zhang; Kaizhu Huang; Cheng-Lin Liu 001 (ICDM, 2013)

Dynamic Ensemble of Ensembles in Nonstationary Environments. - Xu-Cheng Yin; Kaizhu Huang; Hong-Wei Hao (ICONIP (2), 2013)

One-Side Probability Machine: Learning Imbalanced Classifiers Locally and Globally. - Rui Zhang 012; Kaizhu Huang (ICONIP (2), 2013)

Fast kNN Graph Construction with Locality Sensitive Hashing. - Yan-Ming Zhang 001; Kaizhu Huang; Guanggang Geng; Cheng-Lin Liu 001 (ECML/PKDD (2), 2013)

Accurate and robust text detection: a step-in for text retrieval in natural scene images. - Xu-Cheng Yin; Xuwang Yin; Kaizhu Huang; Hong-Wei Hao (SIGIR, 2013)

Robust Text Detection in Natural Scene Images - Xu-Cheng Yin; Xuwang Yin; Kaizhu Huang (CoRR, 2013)

Geometry preserving multi-task metric learning. - Peipei Yang; Kaizhu Huang; Cheng-Lin Liu 001 (Mach. Learn., 2013)

A multi-task framework for metric learning with common subspace. - Peipei Yang; Kaizhu Huang; Cheng-Lin Liu 001 (Neural Comput. Appl., 2013)

Unsupervised Dimensionality Reduction for Gaussian Mixture Model. - Xi Yang 008; Kaizhu Huang; Rui Zhang 012 (ICONIP (2), 2014)

Text Categorization with Diversity Random Forests. - Chun Yang; Xu-Cheng Yin; Kaizhu Huang (ICONIP (3), 2014)

A Novel Hybrid Approach for Combining Deep and Traditional Neural Networks. - Rui Zhang 012; Shufei Zhang; Kaizhu Huang (ICONIP (3), 2014)

Graphical lasso quadratic discriminant function and its application to character recognition. - Bo Xu 008; Kaizhu Huang; Irwin King; Cheng-Lin Liu 001; Jun Sun 004; Satoshi Naoi (Neurocomputing, 2014)

A novel classifier ensemble method with sparsity and diversity. - Xu-Cheng Yin; Kaizhu Huang; Hong-Wei Hao; Khalid Iqbal; Zhi-Bin Wang (Neurocomputing, 2014)

Convex ensemble learning with sparsity and diversity. - Xu-Cheng Yin; Kaizhu Huang; Chun Yang; Hong-Wei Hao (Inf. Fusion, 2014)

Robust Text Detection in Natural Scene Images. - Xu-Cheng Yin; Xuwang Yin; Kaizhu Huang; Hong-Wei Hao (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Combination of Classification and Clustering Results with Label Propagation. - Xu-Yao Zhang; Peipei Yang; Yan-Ming Zhang 001; Kaizhu Huang; Cheng-Lin Liu 001 (IEEE Signal Process. Lett., 2014)

Learning Locality Preserving Graph from Data. - Yan-Ming Zhang 001; Kaizhu Huang; Xinwen Hou; Cheng-Lin Liu 001 (IEEE Trans. Cybern., 2014)

A Unified Gradient Regularization Family for Adversarial Examples. - Chunchuan Lyu; Kaizhu Huang; Hai-Ning Liang (ICDM, 2015)

Is DeCAF Good Enough for Accurate Image Classification? - Yajuan Cai; Guoqiang Zhong 001; Yuchen Zheng; Kaizhu Huang; Junyu Dong (ICONIP (2), 2015)

Two-layer Mixture of Factor Analyzers with Joint Factor Loading. - Xi Yang 008; Kaizhu Huang; Rui Zhang 012; John Yannis Goulermas (IJCNN, 2015)

WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications. - Kaizhu Huang; Haiqin Yang; Irwin King; Michael R. Lyu (WSDM, 2015)

DE2: Dynamic ensemble of ensembles for learning nonstationary data. - Xu-Cheng Yin; Kaizhu Huang; Hong-Wei Hao (Neurocomputing, 2015)

Maximum margin semi-supervised learning with irrelevant data. - Haiqin Yang; Kaizhu Huang; Irwin King; Michael R. Lyu (Neural Networks, 2015)

Learning Imbalanced Classifiers Locally and Globally with One-Side Probability Machine. - Kaizhu Huang; Rui Zhang 012; Xu-Cheng Yin (Neural Process. Lett., 2015)

MTC: A Fast and Robust Graph-Based Transductive Learning Method. - Yan-Ming Zhang 001; Kaizhu Huang; Guang-Gang Geng; Cheng-Lin Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2015)

Hybrid Metaheuristic Algorithms: Past, Present, and Future. - T. O. Ting; Xin-She Yang 001; Shi Cheng; Kaizhu Huang (Recent Advances in Swarm Intelligence and Evolutionary Computation, 2015)

Lung cancer detection using Local Energy-based Shape Histogram (LESH) feature extraction and cognitive machine learning techniques. - Summrina Kanwal Wajid; Amir Hussain 001; Kaizhu Huang; Wadii Boulila (ICCI*CC, 2016)

An Investigation of Machine Learning and Neural Computation Paradigms in the Design of Clinical Decision Support Systems (CDSSs). - Summrina Kanwal Wajid; Amir Hussain 001; Bin Luo 001; Kaizhu Huang (BICS, 2016)

Learning Latent Features with Infinite Non-negative Binary Matrix Tri-factorization. - Xi Yang 008; Kaizhu Huang; Rui Zhang 012; Amir Hussain 001 (ICONIP (1), 2016)

Learning from Few Samples with Memory Network. - Shufei Zhang; Kaizhu Huang (ICONIP (1), 2016)

Statistical Entity Ranking with Domain Knowledge. - Xiao-Bo Jin; Guang-Gang Geng; Kaizhu Huang; Zhiwei Yan (NLPCC/ICCPOL, 2016)

Multicores and GPU utilization in parallel swarm algorithm for parameter estimation of photovoltaic cell model. - Tiew On Ting; Jieming Ma; Kyeong Soo Kim; Kaizhu Huang (Appl. Soft Comput., 2016)

Ranking Entity Based on Both of Word Frequency and Word Sematic Features. - Xiao-Bo Jin; Guang-Gang Geng; Kaizhu Huang; Zhiwei Yan (CoRR, 2016)

A fast projected fixed-point algorithm for large graph matching. - Yao Lu; Kaizhu Huang; Cheng-Lin Liu 001 (Pattern Recognit., 2016)

Integrated Discovery of Location Prediction Rules in Mobile Environment. - Elahe Naserian; Xinheng Wang 001; Xiaolong Xu 002; Yuning Dong; Nektarios Georgalas; Kaizhu Huang (DASC/PiCom/DataCom/CyberSciTech, 2017)

Field Support Vector Regression. - Haochuan Jiang; Kaizhu Huang; Rui Zhang 012 (ICONIP (1), 2017)

Deep Mixtures of Factor Analyzers with Common Loadings: A Novel Deep Generative Approach to Clustering. - Xi Yang 008; Kaizhu Huang; Rui Zhang 012 (ICONIP (1), 2017)

Improve Deep Learning with Unsupervised Objective. - Shufei Zhang; Kaizhu Huang; Rui Zhang 012; Amir Hussain 001 (ICONIP (1), 2017)

A Scalable Deep Neural Network Architecture for Multi-Building and Multi-Floor Indoor Localization Based on Wi-Fi Fingerprinting. - Kyeong Soo Kim; Sanghyuk Lee; Kaizhu Huang (CoRR, 2017)

Customer churn prediction in the telecommunication sector using a rough set approach. - Adnan Amin; Sajid Anwar; Awais Adnan; Muhammad Nawaz; Khalid Alawfi; Amir Hussain 001; Kaizhu Huang (Neurocomputing, 2017)

Joint Learning of Unsupervised Dimensionality Reduction and Gaussian Mixture Model. - Xi Yang 008; Kaizhu Huang; John Yannis Goulermas; Rui Zhang 012 (Neural Process. Lett., 2017)

Novel Field-Support Vector Regression-Based Soft Sensor for Accurate Estimation of Solar Irradiance. - Jieming Ma; Haochuan Jiang; Kaizhu Huang; Ziqiang Bi; Ka Lok Man (IEEE Trans. Circuits Syst. I Regul. Pap., 2017)

Field Support Vector Machines. - Kaizhu Huang; Haochuan Jiang; Xu-Yao Zhang (IEEE Trans. Emerg. Top. Comput. Intell., 2017)

Style Neutralization Generative Adversarial Classifier. - Haochuan Jiang; Kaizhu Huang; Rui Zhang 012; Amir Hussain 001 (BICS, 2018)

W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks. - Haochuan Jiang; Guanyu Yang 002; Kaizhu Huang; Rui Zhang 012 (ICONIP (5), 2018)

Improving Deep Neural Network Performance with Kernelized Min-Max Objective. - Kai Yao; Kaizhu Huang; Rui Zhang 012; Amir Hussain 001 (ICONIP (1), 2018)

Special Issue Editorial: Cognitively-Inspired Computing for Knowledge Discovery. - Kaizhu Huang; Rui Zhang 012; Xiaobo Jin; Amir Hussain 001 (Cogn. Comput., 2018)

Accelerating Infinite Ensemble of Clustering by Pivot Features. - Xiao-Bo Jin; Guo-Sen Xie; Kaizhu Huang; Amir Hussain 001 (Cogn. Comput., 2018)

Learning from Few Samples with Memory Network. - Shufei Zhang; Kaizhu Huang; Rui Zhang 012; Amir Hussain 001 (Cogn. Comput., 2018)

Reducing and Stretching Deep Convolutional Activation Features for Accurate Image Classification. - Guoqiang Zhong 001; Shoujun Yan; Kaizhu Huang; Yajuan Cai; Junyu Dong (Cogn. Comput., 2018)

Manifold Adversarial Learning. - Shufei Zhang; Kaizhu Huang; Jianke Zhu; Yang Liu (CoRR, 2018)

Beyond Attributes: Adversarial Erasing Embedding Network for Zero-shot Learning. - Xiao-Bo Jin; Kaizhu Huang; Jianyu Miao (CoRR, 2018)

Three-Dimensional Local Energy-Based Shape Histogram (3D-LESH): A Novel Feature Extraction Technique. - Summrina Kanwal Wajid; Amir Hussain 001; Kaizhu Huang (Expert Syst. Appl., 2018)

Siamese network ensemble for visual tracking. - Chenru Jiang; Jimin Xiao; Yanchun Xie; Tammam Tillo; Kaizhu Huang (Neurocomputing, 2018)

A new two-layer mixture of factor analyzers with joint factor loading model for the classification of small dataset problems. - Xi Yang 008; Kaizhu Huang; Rui Zhang 012; John Yannis Goulermas; Amir Hussain 001 (Neurocomputing, 2018)

Approximately optimizing NDCG using pair-wise loss. - Xiao-Bo Jin; Guang-Gang Geng; Guo-Sen Xie; Kaizhu Huang (Inf. Sci., 2018)

Banzhaf random forests: Cooperative game theory based random forests with consistency. - Jianyuan Sun; Guoqiang Zhong 001; Kaizhu Huang; Junyu Dong (Neural Networks, 2018)

Learning Latent Features With Infinite Nonnegative Binary Matrix Trifactorization. - Xi Yang 008; Kaizhu Huang; Rui Zhang 012; Amir Hussain 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2018)

Zero-Shot Learning via Attribute Regression and Class Prototype Rectification. - Changzhi Luo; Zhetao Li; Kaizhu Huang; Jiashi Feng; Meng Wang 001 (IEEE Trans. Image Process., 2018)

Long Short-Term Attention. - Guoqiang Zhong 001; Xin Lin; Kang Chen; Qingyang Li; Kaizhu Huang (BICS, 2019)

Offline Arabic Handwriting Recognition Using Deep Machine Learning: A Review of Recent Advances. - Rami Ahmed; Kia Dashtipour; Mandar Gogate; Ali Raza 004; Rui Zhang 012; Kaizhu Huang; Ahmad Y. A. Hawalah; Ahsan Adeel; Amir Hussain 001 (BICS, 2019)

Improving Image Caption Performance with Linguistic Context. - Yupeng Cao; Qiu-Feng Wang 001; Kaizhu Huang; Rui Zhang 012 (BICS, 2019)

Action Recognition in Videos with Temporal Segments Fusions. - Yuanye Fang; Rui Zhang 012; Qiu-Feng Wang 001; Kaizhu Huang (BICS, 2019)

Fine-Grained Image Classification with Object-Part Model. - Jinlong Hong; Kaizhu Huang; Hai-Ning Liang; Xinheng Wang 001; Rui Zhang 012 (BICS, 2019)

Self-focus Deep Embedding Model for Coarse-Grained Zero-Shot Classification. - Guanyu Yang 002; Kaizhu Huang; Rui Zhang 012; John Yannis Goulermas; Amir Hussain 001 (BICS, 2019)

Improving Disentanglement-Based Image-to-Image Translation with Feature Joint Block Fusion. - Zhejian Zhang; Rui Zhang 012; Qiu-Feng Wang 001; Kaizhu Huang (BICS, 2019)

Beyond Attributes: High-Order Attribute Features for Zero-Shot Learning. - Xiao-Bo Jin; Guo-Sen Xie; Kaizhu Huang; Jianyu Miao; Qiufeng Wang 001 (ICCV Workshops, 2019)

An Interactive and Generative Approach for Chinese Shanshui Painting Document. - Le Zhou; Qiu-Feng Wang 001; Kaizhu Huang; Cheng-Hung Lo (ICDAR, 2019)

Random Features and Random Neurons for Brain-Inspired Big Data Analytics. - Mandar Gogate; Amir Hussain 001; Kaizhu Huang (ICDM Workshops, 2019)

Deep Minimax Probability Machine. - Lirong He; Ziyi Guo; Kaizhu Huang; Zenglin Xu (ICDM Workshops, 2019)

Primitives Generation Policy Learning without Catastrophic Forgetting for Robotic Manipulation. - Fangzhou Xiong; Zhiyong Liu 001; Kaizhu Huang; Xu Yang 004; Amir Hussain 001 (ICDM Workshops, 2019)

VSB-DVM: An End-to-End Bayesian Nonparametric Generalization of Deep Variational Mixture Model. - Xi Yang 008; Yuyao Yan; Kaizhu Huang; Rui Zhang 012 (ICDM, 2019)

Generalized Adversarial Training in Riemannian Space. - Shufei Zhang; Kaizhu Huang; Rui Zhang 012; Amir Hussain 001 (ICDM, 2019)

SimpleGAN Stabilizing Generative Adversarial Networks with Simple Distributions. - Shufei Zhang; Zhuang Qian; Kaizhu Huang; Rui Zhang 012; Amir Hussain 001 (ICDM Workshops, 2019)

Enhanced LSTM with Batch Normalization. - Li-Na Wang; Guoqiang Zhong 001; Shoujun Yan; Junyu Dong; Kaizhu Huang (ICONIP (1), 2019)

MPSSD: Multi-Path Fusion Single Shot Detector. - Shuyi Qu; Kaizhu Huang; Amir Hussain 001; Yannis Goulermas (IJCNN, 2019)

Mining human activity and smartphone position from motion sensors. - Zhiqiang Gao; Dawei Liu 001; Kaizhu Huang; Yi Huang 001 (IUI Companion, 2019)

Joint Multi-Label Attention Networks for Social Text Annotation. - Hang Dong 002; Wei Wang 042; Kaizhu Huang; Frans Coenen (NAACL-HLT (1), 2019)

Improving Script Identification by Integrating Text Recognition Information. - Yupeng Cao; Jing Li; Qiu-Feng Wang 001; Kaizhu Huang; Rui Zhang 012 (Aust. J. Intell. Inf. Process. Syst., 2019)

Discriminant Zero-Shot Learning with Center Loss. - Xiao-Bo Jin; Guo-Sen Xie; Kaizhu Huang; Heling Cao; Qiu-Feng Wang 001 (Cogn. Comput., 2019)

A Novel Deep Density Model for Unsupervised Learning. - Xi Yang 008; Kaizhu Huang; Rui Zhang 012; John Yannis Goulermas (Cogn. Comput., 2019)

Special issue on advances in graph algorithm and applications. - Zhi-Yong Liu 001; Kaizhu Huang; Xu Yang 004; Cheng-Lin Liu 001 (Neurocomputing, 2019)

Cross-modality interactive attention network for multispectral pedestrian detection. - Lu Zhang 054; Zhiyong Liu 001; Shifeng Zhang; Xu Yang 004; Hong Qiao; Kaizhu Huang; Amir Hussain 001 (Inf. Fusion, 2019)

IAN: The Individual Aggregation Network for Person Search. - Jimin Xiao; Yanchun Xie; Tammam Tillo; Kaizhu Huang; Yunchao Wei; Jiashi Feng (Pattern Recognit., 2019)

Context-Aware Human Activity and Smartphone Position-Mining with Motion Sensors. - Zhiqiang Gao; Dawei Liu 001; Kaizhu Huang; Yi Huang 001 (Remote. Sens., 2019)

Stochastic Conjugate Gradient Algorithm With Variance Reduction. - Xiao-Bo Jin; Xu-Yao Zhang; Kaizhu Huang; Guang-Gang Geng (IEEE Trans. Neural Networks Learn. Syst., 2019)

Guided Policy Search for Sequential Multitask Learning. - Fangzhou Xiong; Biao Sun; Xu Yang 004; Hong Qiao; Kaizhu Huang; Amir Hussain 001; Zhi-Yong Liu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2019)

Towards Better Forecasting by Fusing Near and Distant Future Visions. - Jiezhu Cheng; Kaizhu Huang; Zibin Zheng (AAAI, 2020)

Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach. - Bingfeng Zhang; Jimin Xiao; Yunchao Wei; Mingjie Sun; Kaizhu Huang (AAAI, 2020)

A Covert Ultrasonic Phone-to-Phone Communication Scheme. - Liming Shi; Limin Yu; Kaizhu Huang; Xu Zhu 001; Zhi Wang 003; Xiaofei Li 001; Wenwu Wang 001; Xinheng Wang 001 (CollaborateCom (1), 2020)

Feature Representation Matters: End-to-End Learning for Reference-Based Image Super-Resolution. - Yanchun Xie; Jimin Xiao; Mingjie Sun; Chao Yao; Kaizhu Huang (ECCV (4), 2020)

Adversarial Rectification Network for Scene Text Regularization. - Jing Li; Qiu-Feng Wang 001; Rui Zhang 012; Kaizhu Huang (ICONIP (2), 2020)

MCRN: A New Content-Based Music Classification and Recommendation Network. - Yuxu Mao; Guoqiang Zhong 001; Haizhen Wang; Kaizhu Huang (ICONIP (4), 2020)

CDMC'19 - The 10th International Cybersecurity Data Mining Competition. - Shaoning Pang 001; Tao Ban; Youki Kadobayashi; Jungsuk Song; Kaizhu Huang; Geongsen Poh; Iqbal Gondal; Kitsuchart Pasupa; Fadi A. Aloul (ICONIP (2), 2020)

Feature Redirection Network for Few-Shot Classification. - Yanan Wang; Guoqiang Zhong 001; Yuxu Mao; Kaizhu Huang (ICONIP (4), 2020)

Multi-scale Attention Consistency for Multi-label Image Classification. - Haotian Xu; Xiaobo Jin; Qiufeng Wang 001; Kaizhu Huang (ICONIP (4), 2020)

Maximum Power Point Tracking of Photovoltaic Systems Using Deep Q-networks. - Kangshi Wang; Dou Hong; Jieming Ma; Ka Lok Man; Kaizhu Huang; Xiaowei Huang 001 (INDIN, 2020)

Adversarial Domain Adaptation for Crisis Data Classification on Social Media. - Qi Chen 026; Wei Wang 042; Kaizhu Huang; Suparna De; Frans Coenen (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2020)

Pay Attention Selectively and Comprehensively: Pyramid Gating Network for Human Pose Estimation without Pre-training. - Chenru Jiang; Kaizhu Huang; Shufei Zhang; Xinheng Wang 001; Jimin Xiao (ACM Multimedia, 2020)

Inductive Generalized Zero-Shot Learning with Adversarial Relation Network. - Guanyu Yang 002; Kaizhu Huang; Rui Zhang 012; John Yannis Goulermas; Amir Hussain 001 (ECML/PKDD (2), 2020)

Multi-modal Adversarial Training for Crisis-related Data Classification on Social Media. - Qi Chen 026; Wei Wang 042; Kaizhu Huang; Suparna De; Frans Coenen (SMARTCOMP, 2020)

Neural CAPTCHA networks. - Ying Ma; Guoqiang Zhong 001; Wen Liu; Jinxuan Sun; Kaizhu Huang (Appl. Soft Comput., 2020)

Automatic Design of Deep Networks with Neural Blocks. - Guoqiang Zhong 001; Wencong Jiao; Wei Gao; Kaizhu Huang (Cogn. Comput., 2020)

Robust Generative Adversarial Network. - Shufei Zhang; Zhuang Qian; Kaizhu Huang; Jimin Xiao; Yuan He (CoRR, 2020)

Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction. - Penglei Gao; Xi Yang 008; Rui Zhang 012; Kaizhu Huang (CoRR, 2020)

Triple loss for hard face detection. - Zhenyu Fang; Jinchang Ren; Stephen Marshall; Huimin Zhao 001; Zheng Wang 008; Kaizhu Huang; Bing Xiao 005 (Neurocomputing, 2020)

Hybrid channel based pedestrian detection. - Fiseha B. Tesema; Hong Wu; Mingjian Chen; Junpeng Lin; William Zhu 001; Kaizhu Huang (Neurocomputing, 2020)

Improving deep neural network performance by integrating kernelized Min-Max objective. - Qiu-Feng Wang 001; Kai Yao; Rui Zhang 012; Amir Hussain 001; Kaizhu Huang (Neurocomputing, 2020)

Knowledge base enrichment by relation learning from social tagging data. - Hang Dong 002; Wei Wang 042; Frans Coenen; Kaizhu Huang (Inf. Sci., 2020)

Editorial: Collaborative Computing for Data-Driven Systems. - Xinheng Wang 001; Muddesar Iqbal; Honghao Gao; Kaizhu Huang; Andrei Tchernykh (Mob. Networks Appl., 2020)

Novel deep neural network based pattern field classification architectures. - Kaizhu Huang; Shufei Zhang; Rui Zhang 012; Amir Hussain 001 (Neural Networks, 2020)

Generative adversarial networks with mixture of t-distributions noise for diverse image generation. - Jinxuan Sun; Guoqiang Zhong 001; Yang Chen 036; Yongbin Liu; Tao Li 031; Kaizhu Huang (Neural Networks, 2020)

Encoding primitives generation policy learning for robotic arm to overcome catastrophic forgetting in sequential multi-tasks learning. - Fangzhou Xiong; Zhiyong Liu 001; Kaizhu Huang; Xu Yang 004; Hong Qiao; Amir Hussain 001 (Neural Networks, 2020)

Generative adversarial networks with decoder-encoder output noises. - Guoqiang Zhong 001; Wei Gao; Yongbin Liu; Youzhao Yang; Da-Han Wang; Kaizhu Huang (Neural Networks, 2020)

Generative adversarial classifier for handwriting characters super-resolution. - Zhuang Qian; Kaizhu Huang; Qiu-Feng Wang 001; Jimin Xiao; Rui Zhang 012 (Pattern Recognit., 2020)

Compressing Deep Networks by Neuron Agglomerative Clustering. - Li-Na Wang; Wenxue Liu; Xiang Liu 012; Guoqiang Zhong 001; Partha Pratim Roy 001; Junyu Dong; Kaizhu Huang (Sensors, 2020)

Segmentation mask guided end-to-end person search. - Dingyuan Zheng; Jimin Xiao; Kaizhu Huang; Yao Zhao 001 (Signal Process. Image Commun., 2020)

Correlation Filter Selection for Visual Tracking Using Reinforcement Learning. - Yanchun Xie; Jimin Xiao; Kaizhu Huang; Jeyarajan Thiyagalingam; Yao Zhao 001 (IEEE Trans. Circuits Syst. Video Technol., 2020)

Each Attribute Matters: Contrastive Attention for Sentence-based Image Editing. - Liuqing Zhao; Fan Lyu; Fuyuan Hu; Kaizhu Huang; Fenglei Xu; Linyan Li (BMVC, 2021)

Gradient Distribution Alignment Certificates Better Adversarial Domain Adaptation. - Zhiqiang Gao; Shufei Zhang; Kaizhu Huang; Qiufeng Wang 001; Chaoliang Zhong (ICCV, 2021)

Mix-Up Augmentation for Oracle Character Recognition with Imbalanced Data Distribution. - Jing Li; Qiu-Feng Wang 001; Rui Zhang 012; Kaizhu Huang (ICDAR (1), 2021)

Towards Better Robust Generalization with Shift Consistency Regularization. - Shufei Zhang; Zhuang Qian; Kaizhu Huang; Qiufeng Wang 001; Rui Zhang 012; Xinping Yi (ICML, 2021)

A Segment-Based Layout Aware Model for Information Extraction on Document Images. - Maizhen Ning; Qiu-Feng Wang 001; Kaizhu Huang; Xiaowei Huang 001 (ICONIP (5), 2021)

Global-aware Beam Search for Neural Abstractive Summarization. - Ye Ma; Zixun Lan; Lu Zong; Kaizhu Huang (NeurIPS, 2021)

A Systematic Analysis of Link Prediction in Complex Network. - Haji Gul; Adnan Amin; Awais Adnan; Kaizhu Huang (IEEE Access, 2021)

Style-Neutralized Pattern Classification Based on Adversarially Trained Upgraded U-Net. - Haochuan Jiang; Kaizhu Huang; Rui Zhang 012; Amir Hussain 001 (Cogn. Comput., 2021)

Attention-Augmented Machine Memory. - Xin Lin; Guoqiang Zhong 001; Kang Chen; Qingyang Li; Kaizhu Huang (Cogn. Comput., 2021)

State Primitive Learning to Overcome Catastrophic Forgetting in Robotics. - Fangzhou Xiong; Zhi-Yong Liu 001; Kaizhu Huang; Xu Yang 004; Hong Qiao (Cogn. Comput., 2021)

Scaffold-A549: A Benchmark 3D Fluorescence Image Dataset for Unsupervised Nuclei Segmentation. - Kai Yao; Kaizhu Huang; Jie Sun 024; Linzhi Jing; Dejian Huang; Curran Jude (Cogn. Comput., 2021)

Partial Differential Equations is All You Need for Generating Neural Architectures - A Theory for Physical Artificial Intelligence Systems. - Ping Guo 002; Kaizhu Huang; Zenglin Xu (CoRR, 2021)

LGD-GCN: Local and Global Disentangled Graph Convolutional Networks. - Jingwei Guo 001; Kaizhu Huang; Xinping Yi; Rui Zhang 012 (CoRR, 2021)

FastAdaBelief: Improving Convergence Rate for Belief-based Adaptive Optimizer by Strong Convexity. - Yangfan Zhou; Kaizhu Huang; Cheng Cheng; Xuguang Wang; Xin Liu 102 (CoRR, 2021)

Reborn Mechanism: Rethinking the Negative Phase Information Flow in Convolutional Neural Network. - Zhicheng Cai; Kaizhu Huang; Chenglei Peng (CoRR, 2021)

Structure First Detail Next: Image Inpainting with Pyramid Generator. - Shuyi Qu; Zhenxing Niu; Kaizhu Huang; Jianke Zhu; Matan Protter; Gadi Zimerman; Yinghui Xu (CoRR, 2021)

Improving Model Robustness with Latent Distribution Locally and Globally. - Zhuang Qian; Shufei Zhang; Kaizhu Huang; Qiufeng Wang 001; Rui Zhang 012; Xinping Yi (CoRR, 2021)

AD-GAN: End-to-end Unsupervised Nuclei Segmentation with Aligned Disentangling Training. - Kai Yao; Kaizhu Huang; Jie Sun 024; Curran Jude (CoRR, 2021)

PointNu-Net: Simultaneous Multi-tissue Histology Nuclei Segmentation and Classification in the Clinical Wild. - Kai Yao; Kaizhu Huang; Jie Sun 024; Amir Hussain 001; Curran Jude (CoRR, 2021)

Multi-modal generative adversarial networks for traffic event detection in smart cities. - Qi Chen 026; Wei Wang 042; Kaizhu Huang; Suparna De; Frans Coenen (Expert Syst. Appl., 2021)

Novel Artificial Immune Networks-based optimization of shallow machine learning (ML) classifiers. - Summrina Kanwal; Amir Hussain 001; Kaizhu Huang (Expert Syst. Appl., 2021)

Residual attention-based multi-scale script identification in scene text images. - Mengkai Ma; Qiu-Feng Wang 001; Shan Huang; Shen Huang; Yannis Goulermas; Kaizhu Huang (Neurocomputing, 2021)

Coarse-grained generalized zero-shot learning with efficient self-focus mechanism. - Guanyu Yang 002; Kaizhu Huang; Rui Zhang 012; John Yannis Goulermas; Amir Hussain 001 (Neurocomputing, 2021)

Domain adaptation with feature and label adversarial networks. - Peng Zhao; Wenhua Zang; Bin Liu 022; Zhao Kang 001; Kun Bai; Kaizhu Huang; Zenglin Xu (Neurocomputing, 2021)

Artificial Intelligence in Collaborative Computing. - Xinheng Wang 001; Honghao Gao; Kaizhu Huang (Mob. Networks Appl., 2021)

Improving generative adversarial networks with simple latent distributions. - Shufei Zhang; Kaizhu Huang; Zhuang Qian; Rui Zhang 012; Amir Hussain 001 (Neural Comput. Appl., 2021)

Manifold adversarial training for supervised and semi-supervised learning. - Shufei Zhang; Kaizhu Huang; Jianke Zhu; Yang Liu (Neural Networks, 2021)

A Multipath Fusion Strategy Based Single Shot Detector. - Shuyi Qu; Kaizhu Huang; Amir Hussain 001; Yannis Goulermas (Sensors, 2021)

Automated Social Text Annotation With Joint Multilabel Attention Networks. - Hang Dong 002; Wei Wang 042; Kaizhu Huang; Frans Coenen (IEEE Trans. Neural Networks Learn. Syst., 2021)

Outpainting by Queries. - Kai Yao; Penglei Gao; Xi Yang 008; Jie Sun 024; Rui Zhang 012; Kaizhu Huang (ECCV (23), 2022)

Towards Accurate Alignment and Sufficient Context in Scene Text Recognition. - Yijie Hu; Bin Dong 003; Qiufeng Wang 001; Lei Ding 012; Xiaobo Jin; Kaizhu Huang (ICONIP (3), 2022)

Rethinking Image Inpainting with Attention Feature Fusion. - Shuyi Qu; Kaizhu Huang; Qiufeng Wang 001; Bin Dong 003 (ICONIP (3), 2022)

Certifying Better Robust Generalization for Unsupervised Domain Adaptation. - Zhiqiang Gao; Shufei Zhang; Kaizhu Huang; Qiufeng Wang 001; Rui Zhang 012; Chaoliang Zhong (ACM Multimedia, 2022)

Harnessing Multi-Semantic Hypergraph for Few-Shot Learning. - Hao Chen 011; Linyan Li; Zhenping Xia; Fan Lyu; Liuqing Zhao; Kaizhu Huang; Wei Feng 005; Fuyuan Hu (PRCV (1), 2022)

Generalised Zero-shot Learning for Entailment-based Text Classification with External Knowledge. - Yuqi Wang; Wei Wang 042; Qi Chen 026; Kaizhu Huang; Anh Nguyen 003; Suparna De (SMARTCOMP, 2022)

Music-CRN: an Efficient Content-Based Music Classification and Recommendation Network. - Yuxu Mao; Guoqiang Zhong 001; Haizhen Wang; Kaizhu Huang (Cogn. Comput., 2022)

Granular Computing and Three-way Decisions for Cognitive Analytics. - Jingtao Yao 001; Yiyu Yao; Davide Ciucci; Kaizhu Huang (Cogn. Comput., 2022)

LightAdam: Towards a Fast and Accurate Adaptive Momentum Online Algorithm. - Yangfan Zhou; Kaizhu Huang; Cheng Cheng; Xuguang Wang; Xin Liu 102 (Cogn. Comput., 2022)

Generalised Image Outpainting with U-Transformer. - Penglei Gao; Xi Yang 008; Rui Zhang 012; Kaizhu Huang; Yujie Geng (CoRR, 2022)

From 2D Images to 3D Model: Weakly Supervised Multi-View Face Reconstruction with Deep Fusion. - Weiguang Zhao; Chaolong Yang; Jianan Ye; Yuyao Yan; Xi Yang 008; Kaizhu Huang (CoRR, 2022)

Mind The Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation. - Zixian Su; Kai Yao; Xi Yang 008; Qiufeng Wang 001; Yuyao Yan; Kaizhu Huang (CoRR, 2022)

Towards Better Text-Image Consistency in Text-to-Image Generation. - Zhaorui Tan; Zihan Ye; Xi Yang 008; Qiufeng Wang 001; Yuyao Yan; Kaizhu Huang (CoRR, 2022)

Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation. - Chaolong Yang; Yuyao Yan; Weiguang Zhao; Jianan Ye; Xi Yang 008; Amir Hussain 001; Kaizhu Huang (CoRR, 2022)

Zero-Shot Text Classification via Knowledge Graph Embedding for Social Media Data. - Qi Chen 026; Wei Wang 042; Kaizhu Huang; Frans Coenen (IEEE Internet Things J., 2022)

Re-thinking model robustness from stability: a new insight to defend adversarial examples. - Shufei Zhang; Kaizhu Huang; Zenglin Xu (Mach. Learn., 2022)

Sparse matrix factorization with L2, 1 norm for matrix completion. - Xiaobo Jin; Jianyu Miao; Qiufeng Wang 001; Guanggang Geng; Kaizhu Huang (Pattern Recognit., 2022)

A survey of robust adversarial training in pattern recognition: Fundamental, theory, and methodologies. - Zhuang Qian; Kaizhu Huang; Qiu-Feng Wang 001; Xu-Yao Zhang (Pattern Recognit., 2022)

End-to-end weakly supervised semantic segmentation with reliable region mining. - Bingfeng Zhang; Jimin Xiao; Yunchao Wei; Kaizhu Huang; Shan Luo 001; Yao Zhao 001 (Pattern Recognit., 2022)

Unsupervised domain adaptation in homogeneous distance space for person re-identification. - Dingyuan Zheng; Jimin Xiao; Yunchao Wei; Qiufeng Wang 001; Kaizhu Huang; Yao Zhao 001 (Pattern Recognit., 2022)

Robustness of Deep Learning-Based Specific Emitter Identification under Adversarial Attacks. - Liting Sun; Da Ke; Xiang Wang 013; Zhitao Huang; Kaizhu Huang (Remote. Sens., 2022)

Multi-Model Running Latency Optimization in an Edge Computing Paradigm. - Peisong Li; Xinheng Wang 001; Kaizhu Huang; Yi Huang 001; Shancang Li; Muddesar Iqbal (Sensors, 2022)

A Novel 3D Unsupervised Domain Adaptation Framework for Cross-Modality Medical Image Segmentation. - Kai Yao; Zixian Su; Kaizhu Huang; Xi Yang 008; Jie Sun 024; Amir Hussain 001; Frans Coenen (IEEE J. Biomed. Health Informatics, 2022)

Disentangling Semantic-to-Visual Confusion for Zero-Shot Learning. - Zihan Ye; Fuyuan Hu; Fan Lyu; Linyan Li; Kaizhu Huang (IEEE Trans. Multim., 2022)

Exploiting Attention-Consistency Loss For Spatial-Temporal Stream Action Recognition. - Haotian Xu; Xiaobo Jin; Qiufeng Wang 001; Amir Hussain 001; Kaizhu Huang (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Efficient link prediction model for real-world complex networks using matrix-forest metric with local similarity features. - Haji Gul; Feras N. Al-Obeidat; Adnan Amin; Muhammad Tahir 006; Kaizhu Huang (J. Complex Networks, 2022)

Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation. - Zixian Su; Kai Yao; Xi Yang 008; Kaizhu Huang; Qiufeng Wang 001; Jie Sun 024 (AAAI, 2023)

Prompt-based Zero-shot Text Classification with Conceptual Knowledge. - Yuqi Wang; Wei Wang 042; Qi Chen 026; Kaizhu Huang; Anh Nguyen 003; Suparna De (ACL (student), 2023)

Learning by Analogy: Diverse Questions Generation in Math Word Problem. - Zihao Zhou; Maizhen Ning; Qiufeng Wang 001; Jie Yao; Wei Wang 042; Xiaowei Huang 001; Kaizhu Huang (ACL (Findings), 2023)

Cipher-Prompt: Towards a Safe Diffusion Model via Learning Cryptographic Prompts. - Sidong Jiang; Siyuan Wang; Rui Zhang 012; Xi Yang 008; Kaizhu Huang (BICS, 2023)

Generalized W-Net: Arbitrary-Style Chinese Character Synthesization. - Haochuan Jiang; Guanyu Yang 002; Fei Cheng; Kaizhu Huang (BICS, 2023)

Visual-Textual Attention for Tree-Based Handwritten Mathematical Expression Recognition. - Wei Liao; Jiayi Liu; Jianghan Chen; Qiu-Feng Wang 001; Kaizhu Huang (BICS, 2023)

Explore Epistemic Uncertainty in Domain Adaptive Semantic Segmentation. - Kai Yao; Zixian Su; Xi Yang 008; Jie Sun 024; Kaizhu Huang (CIKM, 2023)

Multi-agent Reinforcement Learning Based Collaborative Multi-task Scheduling for Vehicular Edge Computing. - Peisong Li; Ziren Xiao; Xinheng Wang 001; Kaizhu Huang; Yi Huang 001; Andrei Tchernykh (CollaborateCom (3), 2023)

Towards Better Robustness against Common Corruptions for Unsupervised Domain Adaptation. - Zhiqiang Gao; Kaizhu Huang; Rui Zhang 012; Dawei Liu 001; Jieming Ma (ICCV, 2023)

Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization. - Weiguang Zhao; Yuyao Yan; Chaolong Yang; Jianan Ye; Xi Yang 008; Kaizhu Huang (ICCV, 2023)

Decoupled Learning for Long-Tailed Oracle Character Recognition. - Jing Li; Bin Dong 003; Qiu-Feng Wang 001; Lei Ding 012; Rui Zhang 012; Kaizhu Huang (ICDAR (4), 2023)

Context Does Matter: End-to-end Panoptic Narrative Grounding with Deformable Attention Refined Matching Network. - Yiming Lin; Xiao-Bo Jin; Qiufeng Wang 001; Kaizhu Huang (ICDM, 2023)

Structure First Detail Next: Image Inpainting with Pyramid Generator. - Shuyi Qu; Zhenxing Niu; Jianke Zhu; Bin Dong 003; Kaizhu Huang (ICME, 2023)

Improving Handwritten Mathematical Expression Recognition via an Attention Refinement Network. - Jiayi Liu; Qiufeng Wang 001; Wei Liao; Jianghan Chen; Kaizhu Huang (ICONIP (13), 2023)

Progressive Supervision for Tampering Localization in Document Images. - Huiru Shao; Kaizhu Huang; Wei Wang 042; Xiaowei Huang 001; Qiufeng Wang 001 (ICONIP (15), 2023)

PAG: Protecting Artworks from Personalizing Image Generative Models. - Zhaorui Tan; Siyuan Wang; Xi Yang 008; Kaizhu Huang (ICONIP (4), 2023)

Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation. - Chaolong Yang; Yuyao Yan; Weiguang Zhao; Jianan Ye; Xi Yang 008; Amir Hussain 001; Bin Dong 003; Kaizhu Huang (ICONIP (15), 2023)

A Symbolic Characters Aware Model for Solving Geometry Problems. - Maizhen Ning; Qiu-Feng Wang 001; Kaizhu Huang; Xiaowei Huang 001 (ACM Multimedia, 2023)

Graph Neural Networks with Diverse Spectral Filtering. - Jingwei Guo 001; Kaizhu Huang; Xinping Yi; Rui Zhang 012 (WWW, 2023)

SaliencyCut: Augmenting Plausible Anomalies for Open-set Fine-Grained Anomaly Detection. - Jianan Ye; Yijie Hu; Xi Yang 008; Qiu-Feng Wang 001; Chao Huang; Kaizhu Huang (CoRR, 2023)

A Symbolic Character-Aware Model for Solving Geometry Problems. - Maizhen Ning; Qiu-Feng Wang 001; Kaizhu Huang; Xiaowei Huang 001 (CoRR, 2023)

ShanshuiDaDA: An Interactive, Generative System towards Chinese Shanshui Painting. - Aven Le Zhou; Qiufeng Wang 001; Cheng-Hung Lo; Kaizhu Huang (CoRR, 2023)

Zero-Shot Medical Information Retrieval via Knowledge Graph Embedding. - Yuqi Wang; Zeqiang Wang; Wei Wang 042; Qi Chen 026; Kaizhu Huang; Anh Nguyen 003; Suparna De (CoRR, 2023)

Diff-OP3D: Bridging 2D Diffusion for Open Pose 3D Zero-Shot Classification. - Weiguang Zhao; Guanyu Yang 002; Chaolong Yang; Chenru Jiang; Yuyao Yan; Rui Zhang 012; Kaizhu Huang (CoRR, 2023)

Polar-Doc: One-Stage Document Dewarping with Multi-Scope Constraints under Polar Representation. - Weiguang Zhang; Qiufeng Wang 001; Kaizhu Huang (CoRR, 2023)

Diff-Oracle: Diffusion Model for Oracle Character Generation with Controllable Styles and Contents. - Jing Li; Qiu-Feng Wang 001; Kaizhu Huang; Rui Zhang 012; Siyuan Wang (CoRR, 2023)

PointGS: Bridging and fusing geometric and semantic space for 3D point cloud analysis. - Chenru Jiang; Kaizhu Huang; Junwei Wu; Xinheng Wang 001; Jimin Xiao; Amir Hussain 001 (Inf. Fusion, 2023)

GSL-VO: A Geometric-Semantic Information Enhanced Lightweight Visual Odometry in Dynamic Environments. - Wenhui Wei; Kaizhu Huang; Xin Liu 102; Yangfan Zhou (IEEE Trans. Instrum. Meas., 2023)

Rebalanced Zero-Shot Learning. - Zihan Ye; Guanyu Yang 002; Xiaobo Jin; Youfa Liu; Kaizhu Huang (IEEE Trans. Image Process., 2023)

Fitting Imbalanced Uncertainties in Multi-output Time Series Forecasting. - Jiezhu Cheng; Kaizhu Huang; Zibin Zheng (ACM Trans. Knowl. Discov. Data, 2023)

Minimum Power Adversarial Attacks in Communication Signal Modulation Classification with Deep Learning. - Da Ke; Xiang Wang 013; Kaizhu Huang; Haoyuan Wang; Zhitao Huang (Cogn. Comput., 2023)

Fusing external knowledge resources for natural language understanding techniques: A survey. - Yuqi Wang; Wei Wang 042; Qi Chen 026; Kaizhu Huang; Anh Nguyen 003; Suparna De; Amir Hussain 001 (Inf. Fusion, 2023)

Towards Faster Training Algorithms Exploiting Bandit Sampling From Convex to Strongly Convex Conditions. - Yangfan Zhou; Kaizhu Huang; Cheng Cheng; Xuguang Wang; Amir Hussain 001; Xin Liu 102 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Randomized block-coordinate adaptive algorithms for nonconvex optimization problems. - Yangfan Zhou; Kaizhu Huang; Jiang Li; Cheng Cheng; Xuguang Wang; Amir Hussain 001; Xin Liu 102 (Eng. Appl. Artif. Intell., 2023)

Generalized image outpainting with U-transformer. - Penglei Gao; Xi Yang 008; Rui Zhang 012; John Yannis Goulermas; Yujie Geng; Yuyao Yan; Kaizhu Huang (Neural Networks, 2023)

Retrieval-based language model adaptation for handwritten Chinese text recognition. - Shuying Hu; Qiufeng Wang 001; Kaizhu Huang; Min Wen; Frans Coenen (Int. J. Document Anal. Recognit., 2023)

Aggregated pyramid gating network for human pose estimation without pre-training. - Chenru Jiang; Kaizhu Huang; Shufei Zhang; Xinheng Wang 001; Jimin Xiao; Yannis Goulermas (Pattern Recognit., 2023)

Towards Simple and Accurate Human Pose Estimation With Stair Network. - Chenru Jiang; Kaizhu Huang; Shufei Zhang; Xinheng Wang 001; Jimin Xiao; Zhenxing Niu; Amir Hussain 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Explainable Tensorized Neural Ordinary Differential Equations for Arbitrary-Step Time Series Prediction. - Penglei Gao; Xi Yang 008; Rui Zhang 012; Kaizhu Huang; John Yannis Goulermas (IEEE Trans. Knowl. Data Eng., 2023)

Mind the Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation. - Zixian Su; Kai Yao; Xi Yang 008; Qiufeng Wang 001; Yuyao Yan; Jie Sun 024; Kaizhu Huang (IEEE J. Biomed. Health Informatics, 2023)

Deep learning for brain age estimation: A systematic review. - Muhammad Tanveer 001; M. A. Ganaie 001; Iman Beheshti; Tripti Goel; Nehal Ahmad; Kuan-Ting Lai; Kaizhu Huang; Yu-Dong Zhang 001; Javier Del Ser; Chin-Teng Lin (Inf. Fusion, 2023)

Towards better long-tailed oracle character recognition with adversarial data augmentation. - Jing Li; Qiu-Feng Wang 001; Kaizhu Huang; Xi Yang 008; Rui Zhang 012; John Yannis Goulermas (Pattern Recognit., 2023)

Self-supervised generative learning for sequential data prediction. - Ke Xu; Guoqiang Zhong 001; Zhaoyang Deng; Kang Zhang 007; Kaizhu Huang (Appl. Intell., 2023)

FastAdaBelief: Improving Convergence Rate for Belief-Based Adaptive Optimizers by Exploiting Strong Convexity. - Yangfan Zhou; Kaizhu Huang; Cheng Cheng; Xuguang Wang; Amir Hussain 001; Xin Liu 102 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Multi-semantic hypergraph neural network for effective few-shot learning. - Hao Chen 011; Linyan Li; Fuyuan Hu; Fan Lyu; Liuqing Zhao; Kaizhu Huang; Wei Feng 005; Zhenping Xia (Pattern Recognit., 2023)

Robust generative adversarial network. - Shufei Zhang; Zhuang Qian; Kaizhu Huang; Rui Zhang 012; Jimin Xiao; Yuan He; Canyi Lu (Mach. Learn., 2023)

Semantic Similarity Distance: Towards better text-image consistency metric in text-to-image generation. - Zhaorui Tan; Xi Yang 008; Zihan Ye; Qiufeng Wang 001; Yuyao Yan; Anh Nguyen 003; Kaizhu Huang (Pattern Recognit., 2023)

Unraveling Batch Normalization for Realistic Test-Time Adaptation. - Zixian Su; Jingwei Guo 001; Kai Yao; Xi Yang 008; Qiufeng Wang 001; Kaizhu Huang (AAAI, 2024)

Semantic-Aware Data Augmentation for Text-to-Image Synthesis. - Zhaorui Tan; Xi Yang 008; Kaizhu Huang (AAAI, 2024)

MathAttack: Attacking Large Language Models towards Math Solving Ability. - Zihao Zhou; Qiufeng Wang 001; Mingyu Jin; Jie Yao; Jianan Ye; Wei Liu 131; Wei Wang 042; Xiaowei Huang 001; Kaizhu Huang (AAAI, 2024)

Mind the Gap: Promoting Missing Modality Brain Tumor Segmentation with Alignment. - Tianyi Liu; Zhaorui Tan; Haochuan Jiang; Xi Yang 008; Kaizhu Huang (BIBM, 2024)

Rethinking Multi-Domain Generalization with A General Learning Objective. - Zhaorui Tan; Xi Yang 008; Kaizhu Huang (CVPR, 2024)

Delving into Adversarial Robustness on Document Tampering Localization. - Huiru Shao; Zhuang Qian; Kaizhu Huang; Wei Wang 042; Xiaowei Huang 001; Qiufeng Wang 001 (ECCV (65), 2024)

Automated Offline Smartphone-Assisted Microfluidic Paper-Based Analytical Device for Biomarker Detection of Alzheimer's Disease. - Sixuan Duan; Ruiqi Yong; Hang Yuan; Tianyu Cai; Kaizhu Huang; Kai Hoettges; Eng Gee Lim; Pengfei Song (EMBC, 2024)

Class Incremental Learning for Character String Recognition. - Yijie Hu; Yan-Ming Zhang 001; Kaizhu Huang; Qiu-Feng Wang 001 (ICDAR (5), 2024)

Coarse-to-Fine Document Image Registration for Dewarping. - Weiguang Zhang; Qiufeng Wang 001; Kaizhu Huang; Xiaomeng Gu; Fengjun Guo (ICDAR (4), 2024)

Lite-SVO: Towards A Lightweight Self-Supervised Semantic Visual Odometry Exploiting Multi-Feature Sharing Architecture. - Wenhui Wei; Jiantao Li; Kaizhu Huang; Jiadong Li; Xin Liu 102; Yangfan Zhou (ICRA, 2024)

Document Registration: Towards Automated Labeling of Pixel-Level Alignment Between Warped-Flat Documents. - Weiguang Zhang; Qiufeng Wang 001; Kaizhu Huang; Xiaowei Huang 001; Fengjun Guo; Xiaomeng Gu (ACM Multimedia, 2024)

Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification. - Zhaorui Tan; Xi Yang 008; Qiufeng Wang 001; Anh Nguyen 003; Kaizhu Huang (NeurIPS, 2024)

DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness. - Yuqi Wang; Zeqiang Wang; Wei Wang 042; Qi Chen 026; Kaizhu Huang; Anh Nguyen 003; Suparna De (SemEval@NAACL, 2024)

Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering. - Jingwei Guo 001; Kaizhu Huang; Xinping Yi; Zixian Su; Rui Zhang 012 (CoRR, 2024)

Rethinking Information Loss in Medical Image Segmentation with Various-sized Targets. - Tianyi Liu; Zhaorui Tan; Kaizhu Huang; Haochuan Jiang (CoRR, 2024)

SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation. - Kai Yao; Zhaorui Tan; Zixian Su; Xi Yang 008; Jie Sun 024; Kaizhu Huang (CoRR, 2024)

Revisiting Mutual Information Maximization for Generalized Category Discovery. - Zhaorui Tan; Chengrui Zhang; Xi Yang 008; Jie Sun 024; Kaizhu Huang (CoRR, 2024)

Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models. - Zihan Ye; Shreyank N. Gowda; Xiaobo Jin; Xiaowei Huang 001; Haotian Xu; Yaochu Jin; Kaizhu Huang (CoRR, 2024)

MedMAP: Promoting Incomplete Multi-modal Brain Tumor Segmentation with Alignment. - Tianyi Liu; Zhaorui Tan; Muyin Chen; Xi Yang 008; Haochuan Jiang; Kaizhu Huang (CoRR, 2024)

EEG-Defender: Defending against Jailbreak through Early Exit Generation of Large Language Models. - Chongwen Zhao; Zhihao Dou; Kaizhu Huang (CoRR, 2024)

CathAction: A Benchmark for Endovascular Intervention Understanding. - Baoru Huang; Tuan Van Vo; Chayun Kongtongvattana; Giulio Dagnino; Dennis Kundrat; Wenqiang Chi; Mohamed E. M. K. Abdelaziz; Trevor M. Y. Kwok; Tudor Jianu; Tuong Do; Hieu Le; Minh Nguyen; et al. (CoRR, 2024)

Navigating Distribution Shifts in Medical Image Analysis: A Survey. - Zixian Su; Jingwei Guo 001; Xi Yang 008; Qiu-Feng Wang 001; Frans Coenen; Kaizhu Huang (CoRR, 2024)

Personalize to generalize: Towards a universal medical multi-modality generalization through personalization. - Zhaorui Tan; Xi Yang 008; Tan Pan; Tianyi Liu; Chen Jiang 006; Xin Guo 010; Qiufeng Wang 001; Anh Nguyen 003; Yuan Qi 001; Kaizhu Huang; Yuan Cheng (CoRR, 2024)

A comprehensive survey of oracle character recognition: challenges, benchmarks, and beyond. - Jing Li; Xueke Chi; Qiufeng Wang 001; Dahan Wang; Kaizhu Huang; Yongge Liu; Cheng-lin Liu (CoRR, 2024)

Decentralizing Test-time Adaptation under Heterogeneous Data Streams. - Zixian Su; Jingwei Guo 001; Xi Yang 008; Qiufeng Wang 001; Kaizhu Huang (CoRR, 2024)

Towards Cross-device and Training-free Robotic Grasping in 3D Open World. - Weiguang Zhao; Chenru Jiang; Chengrui Zhang; Jie Sun 024; Yuyao Yan; Rui Zhang 012; Kaizhu Huang (CoRR, 2024)

Improved Feature Generating Framework for Transductive Zero-shot Learning. - Zihan Ye; Xinyuan Ru; Shiming Chen 002; Yaochu Jin; Kaizhu Huang; Xiaobo Jin (CoRR, 2024)

Zero-shot text classification with knowledge resources under label-fully-unseen setting. - Yuqi Wang; Wei Wang 042; Qi Chen 026; Kaizhu Huang; Anh Nguyen 003; Suparna De (Neurocomputing, 2024)

Perturbation diversity certificates robust generalization. - Zhuang Qian; Shufei Zhang; Kaizhu Huang; Qiufeng Wang 001; Xinping Yi; Bin Gu 001; Huan Xiong (Neural Networks, 2024)

SaliencyCut: Augmenting plausible anomalies for anomaly detection. - Jianan Ye; Yijie Hu; Xi Yang 008; Qiu-Feng Wang 001; Chao Huang; Kaizhu Huang (Pattern Recognit., 2024)

A generalizable framework for low-rank tensor completion with numerical priors. - Shiran Yuan; Kaizhu Huang (Pattern Recognit., 2024)

Improving Robust Generalization with Diverging Spanned Latent Space. - Owen Dou; Zhiqiang Gao; Hangchi Shen; Ziling Yuan; Shufei Zhang; Kaizhu Huang (Trans. Mach. Learn. Res., 2024)

Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence. - Vikas Hassija; Vinay Chamola; Atmesh Mahapatra; Abhinandan Singal; Divyansh Goel; Kaizhu Huang; Simone Scardapane; Indro Spinelli; Mufti Mahmud; Amir Hussain 001 (Cogn. Comput., 2024)

EPtask: Deep Reinforcement Learning Based Energy-Efficient and Priority-Aware Task Scheduling for Dynamic Vehicular Edge Computing. - Peisong Li; Ziren Xiao; Xinheng Wang 001; Kaizhu Huang; Yi Huang 001; Honghao Gao (IEEE Trans. Intell. Veh., 2024)

PointNu-Net: Keypoint-Assisted Convolutional Neural Network for Simultaneous Multi-Tissue Histology Nuclei Segmentation and Classification. - Kai Yao; Kaizhu Huang; Jie Sun 024; Amir Hussain 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Machine Un-learning: An Overview of Techniques, Applications, and Future Directions. - Siva Sai; Uday Mittal; Vinay Chamola; Kaizhu Huang; Indro Spinelli; Simone Scardapane; Zhiyuan Tan 001; Amir Hussain 001 (Cogn. Comput., 2024)

Learning Disentangled Graph Convolutional Networks Locally and Globally. - Jingwei Guo 001; Kaizhu Huang; Xinping Yi; Rui Zhang 012 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Scene Text Recognition via Dual-path Network with Shape-driven Attention Alignment. - Yijie Hu; Bin Dong 003; Kaizhu Huang; Lei Ding 012; Wei Wang 042; Xiaowei Huang 001; Qiu-Feng Wang 001 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Guest Editorial: Advances in Deep Learning for Clinical and Healthcare Applications. - Cosimo Ieracitano; Francesco Carlo Morabito; Stefano Squartini; Kaizhu Huang; Xuelong Li 001; Mufti Mahmud (Cogn. Comput., 2024)

Instance-Specific Model Perturbation Improves Generalized Zero-Shot Learning. - Guanyu Yang 002; Kaizhu Huang; Rui Zhang 012; Xi Yang 008 (Neural Comput., 2024)

Absorb and Repel: Pseudo-Label Refinement for Intra-Camera Supervised Person Re-Identification. - Wei Li 049; Chuyi Chen; Kaizhu Huang (IEEE Trans. Artif. Intell., 2024)

Can Perturbations Help Reduce Investment Risks? Risk-aware Stock Recommendation via Split Variational Adversarial Training. - Jiezhu Cheng; Kaizhu Huang; Zibin Zheng (ACM Trans. Inf. Syst., 2024)

Continuous Image Outpainting with Neural ODE. - Penglei Gao; Xi Yang 008; Rui Zhang 012; Kaizhu Huang (ACM Trans. Multim. Comput. Commun. Appl., 2024)

EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction With Exogenous Variables. - Penglei Gao; Xi Yang 008; Rui Zhang 012; Ping Guo 002; John Yannis Goulermas; Kaizhu Huang (IEEE Trans. Cybern., 2024)

Inter-feature Relationship Certifies Robust Generalization of Adversarial Training. - Shufei Zhang; Zhuang Qian; Kaizhu Huang; Qiu-Feng Wang 001; Bin Gu 001; Huan Xiong; Xinping Yi (Int. J. Comput. Vis., 2024)

ES-GNN: Generalizing Graph Neural Networks Beyond Homophily With Edge Splitting. - Jingwei Guo 001; Kaizhu Huang; Rui Zhang 012; Xinping Yi (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation. - Xiaoqiang Kang; Zimu Wang; Xiaobo Jin; Wei Wang 042; Kaizhu Huang; Qiufeng Wang 001 (AAAI, 2025)

GNS: Solving Plane Geometry Problems by Neural-Symbolic Reasoning with Multi-Modal LLMs. - Maizhen Ning; Zihao Zhou; Qiufeng Wang 001; Xiaowei Huang 001; Kaizhu Huang (AAAI, 2025)

Towards Better Robustness Against Natural Corruptions in Document Tampering Localization. - Huiru Shao; Kaizhu Huang; Wei Wang 042; Xiaowei Huang 001; Qiufeng Wang 001 (AAAI, 2025)

Disentangling Tabular Data Towards Better One-Class Anomaly Detection. - Jianan Ye; Zhaorui Tan; Yijie Hu; Xi Yang 008; Guangliang Cheng; Kaizhu Huang (AAAI, 2025)

KMD: Koopman Multi-modality Decomposition for Generalized Brain Tumor Segmentation under Incomplete Modalities. - Tianyi Liu; Haochuan Jiang; Kaizhu Huang (CVPR, 2025)

PO3AD: Predicting Point Offsets toward Better 3D Point Cloud Anomaly Detection. - Jianan Ye; Weiguang Zhao; Xi Yang 008; Guangliang Cheng; Kaizhu Huang (CVPR, 2025)

BFANet: Revisiting 3D Semantic Segmentation with Boundary Feature Analysis. - Weiguang Zhao; Rui Zhang 012; Qiufeng Wang 001; Guangliang Cheng; Kaizhu Huang (CVPR, 2025)

ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning. - Zihan Ye; Shreyank N. Gowda; Shiming Chen 002; Xiaowei Huang 001; Haotian Xu; Fahad Shahbaz Khan; Yaochu Jin; Kaizhu Huang; Xiaobo Jin (ICLR, 2025)

Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist. - Zihao Zhou; Shudong Liu 004; Maizhen Ning; Wei Liu 131; Jindong Wang 001; Derek F. Wong; Xiaowei Huang 001; Qiufeng Wang 001; Kaizhu Huang (ICLR, 2025)

Leveraging Graph Neural Networks in Transferring Multimodal Knowledge for Unimodal Segmentation. - Tianyi Liu; Jiongshu Wang; Haochuan Jiang; Kaizhu Huang (ISBI, 2025)

Covariance-Based Space Regularization for Few-Shot Class Incremental Learning. - Yijie Hu; Guanyu Yang 002; Zhaorui Tan; Xiaowei Huang 001; Kaizhu Huang; Qiufeng Wang 001 (WACV, 2025)

Prompt-Enhanced: Leveraging language representation for prompt continual learning. - Wei Li 049; Dezhi Li; Shitong Shao; Kaizhu Huang; Zhen Lei 001 (Neural Networks, 2025)

Stagger Network: Rethinking information loss in medical image segmentation with various-sized targets. - Tianyi Liu; Zhaorui Tan; Haochuan Jiang; Kaizhu Huang (Neural Networks, 2025)

Open-Pose 3D zero-shot learning: Benchmark and challenges. - Weiguang Zhao; Guanyu Yang 002; Rui Zhang 012; Chenru Jiang; Chaolong Yang; Yuyao Yan; Amir Hussain 001; Kaizhu Huang (Neural Networks, 2025)

Revisiting 3D point cloud analysis with Markov process. - Chenru Jiang; Wuwei Ma; Kaizhu Huang; Qiufeng Wang 001; Xi Yang 008; Weiguang Zhao; Junwei Wu; Xinheng Wang 001; Jimin Xiao; Zhenxing Niu (Pattern Recognit., 2025)

Discrete Wavelet Transform-Based Capsule Network for Hyperspectral Image Classification. - Zhiqiang Gao; Jiaqi Wang; Hangchi Shen; Zhihao Dou; Xiangbo Zhang; Kaizhu Huang (CoRR, 2025)

IDEA: Image Description Enhanced CLIP-Adapter. - Zhipeng Ye; Feng Jiang; Qiufeng Wang 001; Kaizhu Huang; Jiaqi Huang (CoRR, 2025)

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors. - Chenru Jiang; Chengrui Zhang; Xi Yang 008; Jie Sun 024; Yifei Zhang; Bin Dong 003; Kaizhu Huang (CoRR, 2025)

Towards Training-Free Open-World Classification with 3D Generative Models. - Xinzhe Xia; Weiguang Zhao; Yuyao Yan; Guanyu Yang 002; Rui Zhang 012; Kaizhu Huang; Xi Yang 008 (CoRR, 2025)

Efficient Interactive 3D Multi-Object Removal. - Jingcheng Ni; Weiguang Zhao; Daniel Wang 005; Ziyao Zeng; Chenyu You; Alex Wong 001; Kaizhu Huang (CoRR, 2025)

Unlock Pose Diversity: Accurate and Efficient Implicit Keypoint-based Spatiotemporal Diffusion for Audio-driven Talking Portrait. - Chaolong Yang; Kai Yao; Yuyao Yan; Chenru Jiang; Weiguang Zhao; Jie Sun 024; Guangliang Cheng; Yifei Zhang; Bin Dong 003; Kaizhu Huang (CoRR, 2025)

A Multi-scale Feature Fusion Network Focusing on Small Objects in UAV-View. - Jiantao Li; Chenbin Yu; Wenhui Wei; Jiadong Li; Kaizhu Huang; Amir Hussian; Xin Liu 102; Yangfan Zhou (Cogn. Comput., 2025)

Interpretable Zero-shot Learning with Infinite Class Concepts. - Zihan Ye; Shreyank N. Gowda; Shiming Chen 002; Yaochu Jin; Kaizhu Huang; Xiaobo Jin (CoRR, 2025)

DvD: Unleashing a Generative Paradigm for Document Dewarping via Coordinates-based Diffusion Model. - Weiguang Zhang; Huangcheng Lu; Maizhen Ning; Xiaowei Huang 001; Wei Wang 042; Kaizhu Huang; Qiufeng Wang 001 (CoRR, 2025)

Peeping into the Future: Understanding and Combating Generative AI-Based Fake News. - Sanjeev Kumar; Siva Sai; Vinay Chamola; Aanchal Gaur; Chitwan Agarwal; Kaizhu Huang; Amir Hussain 001 (Cogn. Comput., 2025)

GeoSDF: Plane Geometry Diagram Synthesis via Signed Distance Field. - Chengrui Zhang; Maizhen Ning; Zihao Zhou; Jie Sun 024; Kaizhu Huang; Qiu-Feng Wang 001 (CoRR, 2025)

HDMTK: Full Integration of Hierarchical Decision-Making and Tactical Knowledge in Multiagent Adversarial Games. - Wei Li 049; Boling Hu; Aiguo Song; Kaizhu Huang (IEEE Trans. Cogn. Dev. Syst., 2025)

Distillation-Based Domain Generalization for Cross-Dataset EEG-Based Emotion Recognition. - Wei Li 049; Siyi Wang; Shitong Shao; Kaizhu Huang (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Exploiting Layer Normalization Fine-tuning in Visual Transformer Foundation Models for Classification. - Zhaorui Tan; Tan Pan; Kaizhu Huang; Weimiao Yu; Kai Yao; Chen Jiang 006; Qiu-Feng Wang 001; Anh Nguyen 003; Xin Guo 010; Yuan Cheng; Xi Yang 008 (CoRR, 2025)

Saving for the future: Enhancing generalization via partial logic regularization. - Zhaorui Tan; Yijie Hu; Xi Yang 008; Qiufeng Wang 001; Anh Nguyen 003; Kaizhu Huang (CoRR, 2025)

A comprehensive survey of oracle character recognition: Challenges, datasets, methodology, and beyond. - Jing Li; Xueke Chi; Qiufeng Wang 001; Kaizhu Huang; Da-Han Wang; Yongge Liu; Cheng-Lin Liu (Pattern Recognit., 2026)

Point2pix-Zero: Point-driven refined diffusion for multi-object image editing. - Siyuan Wang; Yuyao Yan; Xi Yang; Rui Zhang; Qiufeng Wang; Guangliang Cheng; Kaizhu Huang (Pattern Recognit., 2026)

IDEA: Image description enhanced CLIP-adapter for image classification. - Zhipeng Ye; Feng Jiang; Qiufeng Wang 001; Kaizhu Huang; Jiaqi Huang (Pattern Recognit., 2026)